Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
Enterprise-level applications are becoming complex with the need for event and stream processing, multiple query processing and data analysis over heterogeneous data sources such ...
Enterprises may have multiple database systems spread across the organization for redundancy or for serving different applications. In such systems, query workloads can be distrib...
Modeling data by multiple low-dimensional planes is an important problem in many applications such as computer vision and pattern recognition. In the most general setting where on...
Data streaming systems are becoming essential for monitoring applications such as financial analysis and network intrusion detection. These systems often have to process many simi...
Sailesh Krishnamurthy, Chung Wu, Michael J. Frankl...